WEBVTT 00:00:00.000 --> 00:00:02.660 We talk a lot about AI that can think, AI that 00:00:02.660 --> 00:00:05.500 can write. It gives you information. But imagine 00:00:05.500 --> 00:00:07.860 an AI that doesn't just hand you a map to a good 00:00:07.860 --> 00:00:10.099 coffee shop. Imagine it actually acts as your 00:00:10.099 --> 00:00:13.000 personal driver. Exactly. No more just scrolling 00:00:13.000 --> 00:00:15.080 through 10 search results, hoping you find what 00:00:15.080 --> 00:00:18.100 you need. Now the AI agent, it actively checks 00:00:18.100 --> 00:00:20.359 the hours. It verifies they sell that specific 00:00:20.359 --> 00:00:22.420 croissant you like, figures out the parking, 00:00:22.600 --> 00:00:25.179 and then it tells you definitively, go here. 00:00:25.519 --> 00:00:28.719 That active multi -step thing. That's the real 00:00:28.719 --> 00:00:31.760 game changer. Welcome to the deep dive. Today 00:00:31.760 --> 00:00:34.259 we're exploring what feels like the critical 00:00:34.259 --> 00:00:37.259 next step in artificial intelligence. the AI 00:00:37.259 --> 00:00:40.579 agent. Specifically, we're diving into Perplexity 00:00:40.579 --> 00:00:42.840 Comet, a system that seems to be transforming 00:00:42.840 --> 00:00:46.460 passive searching into, well, active task completion. 00:00:46.840 --> 00:00:48.859 Yeah, and just quickly, for anyone maybe new 00:00:48.859 --> 00:00:50.859 to the term, when we say AI agent, what we mean 00:00:50.859 --> 00:00:53.740 is pretty simple. It's an AI that follows a complex 00:00:53.740 --> 00:00:55.880 multi -step process. It completes entire jobs 00:00:55.880 --> 00:00:57.759 for you. It's really built to execute a workflow, 00:00:58.060 --> 00:01:00.640 you know? OK. And we've got a lot to unpack today. 00:01:00.759 --> 00:01:03.219 We're looking at... 10 of what seem to be the 00:01:03.219 --> 00:01:05.920 most powerful automated helders the system offers. 00:01:06.140 --> 00:01:08.260 We've kind of grouped them into three key areas. 00:01:08.480 --> 00:01:11.900 First is sales and customer insight. Second, 00:01:12.140 --> 00:01:15.280 research and content creation. And finally, automating 00:01:15.280 --> 00:01:18.519 some of that core office operations stuff. So 00:01:18.519 --> 00:01:21.040 let's dig into this shift first. Okay, so let's 00:01:21.040 --> 00:01:22.819 start with the fundamental shift itself. For 00:01:22.819 --> 00:01:24.980 years we've gotten used to things like chat GPT, 00:01:25.060 --> 00:01:28.159 that smart brain capability, it's great AI for 00:01:28.159 --> 00:01:30.879 thinking, for writing, explaining complex ideas, 00:01:31.099 --> 00:01:34.319 but now we're moving to AI that has Well, the 00:01:34.319 --> 00:01:36.739 sources call it hands and feet. They can actually 00:01:36.739 --> 00:01:38.959 do work. Yeah, it's truly about getting rid of 00:01:38.959 --> 00:01:41.180 the digital drudgery, you know, the old way, 00:01:41.680 --> 00:01:43.799 constantly copying and pasting data between sites 00:01:43.799 --> 00:01:46.540 or writing basically the same intro email over 00:01:46.540 --> 00:01:48.599 and over. It was all manual data pushing. Right. 00:01:48.739 --> 00:01:51.280 And the new way is automating those boring, repetitive 00:01:51.280 --> 00:01:53.640 jobs, but without needing you to be some kind 00:01:53.640 --> 00:01:56.200 of tech wizard or programmer. The complexity 00:01:56.200 --> 00:01:58.099 is sort of hidden. You don't need code. You just 00:01:58.099 --> 00:02:00.480 need to get good at giving really clear layered 00:02:00.480 --> 00:02:03.599 commands in plain English. Mm -hmm, and you interact 00:02:03.599 --> 00:02:06.500 with these agents in like two main ways for the 00:02:06.500 --> 00:02:09.000 big complex stuff You know plan my whole trip 00:02:09.000 --> 00:02:11.460 budget and itinerary use the main chat window, 00:02:11.460 --> 00:02:13.900 but for quicker tasks things related to the web 00:02:13.900 --> 00:02:15.960 page You're looking at right now like summarize 00:02:15.960 --> 00:02:20.020 this or check the author That's where the assistant 00:02:20.020 --> 00:02:22.259 sidebar comes in handy. Okay, so since this whole 00:02:22.259 --> 00:02:24.699 idea hinges on making complexity accessible meaning 00:02:24.699 --> 00:02:27.069 we don't need to code What's the single biggest 00:02:27.069 --> 00:02:29.849 time saver this offers someone who isn't a programmer? 00:02:30.789 --> 00:02:33.229 Definitely automating those repetitive data gathering 00:02:33.229 --> 00:02:35.569 tasks and comparing stuff across multiple sites. 00:02:36.050 --> 00:02:38.909 Saves hours weekly. Automating multi -site comparisons 00:02:38.909 --> 00:02:41.830 and repetitive data fetching saves hours weekly. 00:02:42.550 --> 00:02:44.830 Got it. All right, let's move into our first 00:02:44.830 --> 00:02:47.590 group, sales. This is where these agents seem 00:02:47.590 --> 00:02:50.069 to generate highly personalized leads and pretty 00:02:50.069 --> 00:02:52.750 detailed market insights fast. Yeah, the first 00:02:52.750 --> 00:02:55.569 one is the leads monitoring agent. This is designed 00:02:55.569 --> 00:02:58.050 to automatically find potential customers showing 00:02:58.050 --> 00:03:00.650 real purchase intent on social media. I think 00:03:00.650 --> 00:03:03.110 Reddit, Twitter, places like that. The example 00:03:03.110 --> 00:03:05.569 they use is great for a freelancer, like a video 00:03:05.569 --> 00:03:08.050 editor. Instead of manually searching for hours, 00:03:08.710 --> 00:03:11.990 you tell the agent, look on subreddits, say YouTubers, 00:03:12.250 --> 00:03:14.710 for people posting, looking for an editor. But 00:03:14.710 --> 00:03:18.300 here's the crucial bit, the how. How does it 00:03:18.300 --> 00:03:21.039 filter out the noise, the tire kickers? Ah, that's 00:03:21.039 --> 00:03:23.240 where the agentic logic kicks in. It uses these 00:03:23.240 --> 00:03:26.219 complex, kind of nested rules. You're basically 00:03:26.219 --> 00:03:28.340 telling the AI, if you see looking for editor, 00:03:28.580 --> 00:03:31.020 and if they also mention budget or schedule explicitly, 00:03:31.479 --> 00:03:33.460 then flag it. Put it on the list. It's like stacking 00:03:33.460 --> 00:03:35.960 these little Lego blocks of data requirements, 00:03:36.080 --> 00:03:38.139 you know? Mm -hmm. And it catches that user, 00:03:38.259 --> 00:03:40.840 Koalunov, who offered $15 an hour and specified 00:03:40.840 --> 00:03:42.879 a clear schedule. It's a qualified lead, just 00:03:42.879 --> 00:03:45.860 delivered to you. Okay, so the leads agent finds 00:03:45.860 --> 00:03:48.340 the prospect. Now the next hurdle is outreach 00:03:48.340 --> 00:03:50.979 without sounding like, you know, generic spam. 00:03:51.539 --> 00:03:54.139 Exactly. And that's the job for the sales prospecting 00:03:54.139 --> 00:03:56.520 agent. It writes the sales emails. You set the 00:03:56.520 --> 00:03:59.560 rules. Find, say, 10 family -owned restaurants 00:03:59.560 --> 00:04:03.539 in NYC. But then you add critical steps. Like, 00:04:03.979 --> 00:04:06.319 the email most complemented specific menu item 00:04:06.319 --> 00:04:08.740 to show you actually looked. And maybe point 00:04:08.740 --> 00:04:10.680 out their website looks kind of old, isn't mobile 00:04:10.680 --> 00:04:13.460 friendly, and offer some free ideas. That personalization 00:04:13.460 --> 00:04:15.120 makes all the difference. You've earned their 00:04:15.120 --> 00:04:17.560 attention. Okay, and then the third agent in 00:04:17.560 --> 00:04:19.699 this sales group is the audience research agent. 00:04:20.000 --> 00:04:23.220 This is about finding real pain points. Oh yeah, 00:04:23.399 --> 00:04:25.860 this one's incredibly powerful, especially if 00:04:25.860 --> 00:04:27.459 you're building a product. Let's say you're making 00:04:27.459 --> 00:04:30.079 a beginner guitar course. You tell the agent, 00:04:30.379 --> 00:04:33.220 Analyze the comments under the five most popular 00:04:33.220 --> 00:04:36.839 why I quit guitar videos on YouTube. It reads 00:04:36.839 --> 00:04:39.240 thousands of comments to find the top five common 00:04:39.240 --> 00:04:42.279 reasons like my fingers hurt or I'm not seeing 00:04:42.279 --> 00:04:44.680 progress. And it pulls out the actual quotes 00:04:44.680 --> 00:04:47.480 like direct language from users. Exactly. You 00:04:47.480 --> 00:04:49.639 get stuff like I practice for three weeks and 00:04:49.639 --> 00:04:52.259 I still can't change from a C to a G chord smoothly. 00:04:52.319 --> 00:04:55.660 I feel useless. That real verified language. 00:04:56.560 --> 00:04:59.100 That's gold dust for development. It really is. 00:04:59.180 --> 00:05:02.379 Honestly. I still wrestle with prompt refinement 00:05:02.379 --> 00:05:04.500 sometimes, trying to get that kind of specific 00:05:04.500 --> 00:05:07.920 insight manually. It's hard. The ability to just 00:05:07.920 --> 00:05:11.019 pull that verified quote, that raw feeling. It 00:05:11.019 --> 00:05:13.100 makes product development so much more focused. 00:05:13.160 --> 00:05:16.040 It's a huge advantage. So how does using those 00:05:16.040 --> 00:05:17.839 real customer quotes from this kind of research 00:05:17.839 --> 00:05:20.459 actually change how we design products or services? 00:05:20.920 --> 00:05:23.160 Products address verified problems, moving beyond 00:05:23.160 --> 00:05:26.319 just guesswork about customer needs. OK, let's 00:05:26.319 --> 00:05:29.139 switch gears now to the second group. Research 00:05:29.139 --> 00:05:32.310 and content. This is all about slashing that 00:05:32.310 --> 00:05:35.129 tedious data gathering time. The live marketing 00:05:35.129 --> 00:05:37.730 intelligence agent is a fantastic example of 00:05:37.730 --> 00:05:40.269 just raw speed. Yeah, this takes what might have 00:05:40.269 --> 00:05:43.149 been like a two -hour copy -paste slog and turns 00:05:43.149 --> 00:05:45.670 it into a two -minute task. You open tabs for 00:05:45.670 --> 00:05:48.550 four competitors, Amazon, Alibaba, whoever, and 00:05:48.550 --> 00:05:50.250 you tell the agent to scan them all at once. 00:05:50.370 --> 00:05:52.670 It just pulls out their holiday sales info, the 00:05:52.670 --> 00:05:54.750 exact discounts, the main call to action words 00:05:54.750 --> 00:05:57.480 they're using. bang, instantly organized in a 00:05:57.480 --> 00:05:59.480 table. That kind of speed for competitive analysis. 00:05:59.800 --> 00:06:02.500 It's a game changer. It really is. But scanning 00:06:02.500 --> 00:06:04.899 foresight simultaneously, doesn't that risk missing 00:06:04.899 --> 00:06:07.920 some important context? Or maybe nuances in how 00:06:07.920 --> 00:06:09.819 they present the sale? That's a really short 00:06:09.819 --> 00:06:12.699 point. What's interesting is how it works. The 00:06:12.699 --> 00:06:14.860 agent is only looking for a few specific things 00:06:14.860 --> 00:06:17.060 you told it to find the discount percentage, 00:06:17.420 --> 00:06:20.500 the dates, those CTA words. It minimizes the 00:06:20.500 --> 00:06:23.000 risk of missing broader context by keeping its 00:06:23.000 --> 00:06:25.740 focus super narrow just on the data points you 00:06:25.740 --> 00:06:27.839 asked for. It's like laser -focused execution. 00:06:28.180 --> 00:06:30.680 Okay, that makes sense. Next up is the research 00:06:30.680 --> 00:06:34.259 agent. Digital declutterer you called it if your 00:06:34.259 --> 00:06:36.939 browser is a mess with 30 tabs open Yeah, this 00:06:36.939 --> 00:06:39.579 agent groups them into organized workspaces like 00:06:39.579 --> 00:06:41.899 the California trip example in the source It 00:06:41.899 --> 00:06:44.420 makes folders hotels flights food, but then it 00:06:44.420 --> 00:06:46.839 goes further It actually reads the content of 00:06:46.839 --> 00:06:49.759 those hotel tabs and summarizes say the top three 00:06:49.759 --> 00:06:51.839 options that have both the best reviews and a 00:06:51.839 --> 00:06:54.300 swimming pool You know the Ritz -Carlton Half 00:06:54.300 --> 00:06:57.959 Moon Bay 4 .7 stars heated outdoor pool That 00:06:57.959 --> 00:07:00.899 level of synthesis saves so much time. And moving 00:07:00.899 --> 00:07:02.980 to the synthesizer agent, this is where we get 00:07:02.980 --> 00:07:05.379 into that permanent recurring automation. You 00:07:05.379 --> 00:07:07.360 set it up once and it just runs. Pretty much. 00:07:07.560 --> 00:07:10.860 You schedule a task every Monday, 8 -6 -0 AM 00:07:10.860 --> 00:07:13.420 sharp, find the five most important news stories 00:07:13.420 --> 00:07:15.879 about EV batteries from the last week, summarize 00:07:15.879 --> 00:07:19.040 them, add them to my Notion database. Done. I'm 00:07:19.040 --> 00:07:22.120 just picturing. Ditching that Sunday night scramble 00:07:22.120 --> 00:07:24.819 to catch up on industry news that scheduled automation 00:07:24.819 --> 00:07:27.079 isn't just powerful It feels like getting time 00:07:27.079 --> 00:07:31.379 back. Whoa Imagine scaling that that weekly knowledge 00:07:31.379 --> 00:07:33.819 base just builds itself forever like a second 00:07:33.819 --> 00:07:37.120 brain But with zero daily effort from you totally 00:07:37.120 --> 00:07:39.600 and the last one in this group the content brief 00:07:39.600 --> 00:07:41.920 agent Helps make sure your articles are actually 00:07:41.920 --> 00:07:44.339 competitive So if you're writing about say how 00:07:44.339 --> 00:07:47.540 to care for a ZZ plan the agent looks at the 00:07:47.540 --> 00:07:50.220 top search results It identifies the five most 00:07:50.220 --> 00:07:52.600 common sub -questions people ask. And it might 00:07:52.600 --> 00:07:54.519 flag a unique angle others are missing, like 00:07:54.519 --> 00:07:56.600 leaf care and aesthetic maintenance. It even 00:07:56.600 --> 00:07:58.519 makes sure you include a common mistakes section, 00:07:58.680 --> 00:08:01.000 because over -watering is the number one killer 00:08:01.000 --> 00:08:02.939 for those plants. It's like having a research 00:08:02.939 --> 00:08:05.060 assistant specifically for content strategy. 00:08:05.240 --> 00:08:07.459 Yeah. OK. Thinking about that scheduled database 00:08:07.459 --> 00:08:10.600 update, what's the most important practical benefit 00:08:10.600 --> 00:08:12.860 there? You build a personal knowledge library 00:08:12.860 --> 00:08:16.120 with zero daily maintenance effort. Mid -roll 00:08:16.120 --> 00:08:19.100 sponsor read. All right, let's shift gears one 00:08:19.100 --> 00:08:22.740 last time. Group three, internal processes, office 00:08:22.740 --> 00:08:26.300 work, operation stuff. First up is the conversion 00:08:26.300 --> 00:08:29.040 optimization agent. This one basically acts like 00:08:29.040 --> 00:08:31.040 a secret shopper for your own website. Right, 00:08:31.079 --> 00:08:33.240 you give it a document, maybe purchase test steps, 00:08:33.440 --> 00:08:35.259 find the leather notebook, add it to the cart, 00:08:35.779 --> 00:08:39.139 try using discount code test10 at checkout, and 00:08:39.139 --> 00:08:41.659 it just follows those steps, exactly. Like a 00:08:41.659 --> 00:08:43.919 real user would. Yeah, exactly. And then it reports 00:08:43.919 --> 00:08:46.899 back on the friction points. It lists, say, the 00:08:46.899 --> 00:08:49.679 top five problems it encountered that might be 00:08:49.679 --> 00:08:51.440 cost to you sales without you even realizing 00:08:51.440 --> 00:08:54.080 it. Like finding that subtle bug where the discount 00:08:54.080 --> 00:08:55.860 code doesn't work on the mobile checkout screen, 00:08:55.919 --> 00:08:57.919 maybe? That kind of thing? Precisely those kinds 00:08:57.919 --> 00:09:00.600 of hidden snacks. Then there's the talent sourcing 00:09:00.600 --> 00:09:03.039 agent, which sounds incredible for hiring. Hiring 00:09:03.039 --> 00:09:05.480 takes so much time. Filtering through candidates. 00:09:05.840 --> 00:09:07.970 Tell me about it. Yeah. But this agent handles 00:09:07.970 --> 00:09:09.830 the heavy lifting on the filtering. You can set 00:09:09.830 --> 00:09:13.070 really strict rules like, find me Facebook ads 00:09:13.070 --> 00:09:15.629 specialists on Upwork who must be top rated, 00:09:16.029 --> 00:09:18.850 must have earned over $10k, must have e -commerce 00:09:18.850 --> 00:09:21.710 experience, and must have five -star reviews 00:09:21.710 --> 00:09:24.289 that specifically mention the phrase conversion 00:09:24.289 --> 00:09:26.960 rate. Wow. So you skip scrolling through hundreds 00:09:26.960 --> 00:09:29.639 of profiles that say they're experts, but lack 00:09:29.639 --> 00:09:32.259 those specific verifiable metrics the agent is 00:09:32.259 --> 00:09:34.559 checking for. It just gives you a short, high 00:09:34.559 --> 00:09:37.120 quality list ready for actual interviews. It's 00:09:37.120 --> 00:09:39.899 huge. Huge time saver. But honestly, the kind 00:09:39.899 --> 00:09:42.000 of crowning achievement in this operations group, 00:09:42.039 --> 00:09:44.240 I think, is the executive assistant agent. OK. 00:09:44.340 --> 00:09:46.080 Tell me about this one. It connects your calendar, 00:09:46.379 --> 00:09:49.600 docs, and the web. Yeah. So you ask it, prep 00:09:49.600 --> 00:09:52.440 me for tomorrow's meetings if you have external 00:09:52.440 --> 00:09:54.950 meetings scheduled. It goes out and researches 00:09:54.950 --> 00:09:56.929 the latest news on those companies, finds out, 00:09:56.929 --> 00:09:59.870 OK, Stripe is making big moves into stable coins 00:09:59.870 --> 00:10:02.190 right now. And for each person you're meeting, 00:10:02.370 --> 00:10:04.610 it summarizes their latest LinkedIn activity 00:10:04.610 --> 00:10:07.389 or profile updates. And then crucially, it suggests 00:10:07.389 --> 00:10:09.789 maybe two smart relevant questions you could 00:10:09.789 --> 00:10:12.370 ask based on that fresh news it found. So you 00:10:12.370 --> 00:10:15.049 walk into every meeting looking incredibly prepared, 00:10:15.490 --> 00:10:17.669 leveraging really specific, up -to -the -minute 00:10:17.669 --> 00:10:20.090 context. Exactly. You look like the most informed 00:10:20.090 --> 00:10:22.480 person in the room, basically. Thinking about 00:10:22.480 --> 00:10:25.039 competitive advantage here, if you're short on 00:10:25.039 --> 00:10:27.440 prep time, which of these agents gives you the 00:10:27.440 --> 00:10:30.440 biggest professional edge, do you think? Good 00:10:30.440 --> 00:10:34.559 question. I'd say the executive assistant. It 00:10:34.559 --> 00:10:36.580 ensures you're fully informed and professional 00:10:36.580 --> 00:10:38.840 for every critical meeting. Okay, let's just 00:10:38.840 --> 00:10:41.940 quickly recap the core difference again between 00:10:41.940 --> 00:10:45.059 these agentic AIs and something like chat GPT. 00:10:45.259 --> 00:10:48.159 Chat GPT is like that brilliant brain in a room. 00:10:48.320 --> 00:10:50.740 It's a great writer, a teacher, fantastic at 00:10:50.740 --> 00:10:54.399 explaining things. But its limitation, fundamentally, 00:10:54.679 --> 00:10:57.419 is that it can't really act in your world natively. 00:10:57.620 --> 00:11:00.399 It can't check your actual email inbox or save 00:11:00.399 --> 00:11:03.220 files directly without some pretty complex workarounds 00:11:03.220 --> 00:11:05.980 or integrations. Right. Whereas perplexity comment 00:11:05.980 --> 00:11:08.750 and agents like it. are designed more like an 00:11:08.750 --> 00:11:11.470 assistant with, well, hands and feet. It's built 00:11:11.470 --> 00:11:13.629 from the ground up to do research and complete 00:11:13.629 --> 00:11:16.029 tasks. Its strength is connecting directly to 00:11:16.029 --> 00:11:18.269 your tools, your browser, maybe your email eventually, 00:11:18.690 --> 00:11:21.070 your documents, to finish those multi -step jobs 00:11:21.070 --> 00:11:23.210 without you having to manually shuttle data around. 00:11:23.669 --> 00:11:25.450 You should absolutely be using both kinds of 00:11:25.450 --> 00:11:27.429 tools, really, for what they're best at. Definitely. 00:11:27.669 --> 00:11:30.789 Now, a really important point, privacy. For any 00:11:30.789 --> 00:11:33.389 AI helper to be genuinely useful like this, it 00:11:33.389 --> 00:11:35.549 needs context, right? It needs to be able to 00:11:35.549 --> 00:11:37.590 read your browser tabs, maybe look at your documents, 00:11:37.769 --> 00:11:39.669 understand your calendar, and that means we have 00:11:39.669 --> 00:11:42.210 to be mindful about the data it sees. Absolutely 00:11:42.210 --> 00:11:46.250 critical. The first, easy step. Go into the perplexity 00:11:46.250 --> 00:11:48.870 settings. Turn off options like send your data 00:11:48.870 --> 00:11:51.610 to improve the product, basic hygiene, but the 00:11:51.610 --> 00:11:55.450 best practice, honestly, separation. Use a completely 00:11:55.450 --> 00:11:58.049 new Google account or maybe even a separate web 00:11:58.049 --> 00:12:00.909 browser profile. only for your work tasks with 00:12:00.909 --> 00:12:02.909 perplexity. That keeps your personal emails, 00:12:03.169 --> 00:12:05.929 your banking stuff, all that sensitive data completely 00:12:05.929 --> 00:12:08.149 isolated from the agent's workspace. So what's 00:12:08.149 --> 00:12:09.990 the essential trade -off we're making here when 00:12:09.990 --> 00:12:12.629 we use a tool that needs our context to be this 00:12:12.629 --> 00:12:15.309 helpful? We trade a degree of privacy for increased 00:12:15.309 --> 00:12:18.090 automation and powerful task completion. Hashtag, 00:12:18.149 --> 00:12:21.070 hashtag, outro. So the big idea today seems really 00:12:21.070 --> 00:12:23.570 clear. The future of AI isn't just about conversation. 00:12:23.809 --> 00:12:26.110 It's about agentic action. These are tools being 00:12:26.110 --> 00:12:27.970 built specifically to do the work, to handle 00:12:27.970 --> 00:12:30.090 those complex multi -step jobs that used to eat 00:12:30.090 --> 00:12:32.090 up so much of our time. Yeah. And my practical 00:12:32.090 --> 00:12:34.889 advice, don't try to tackle all 10 of these agents 00:12:34.889 --> 00:12:37.429 at once. That's overwhelming. Just pick the single 00:12:37.429 --> 00:12:40.490 most boring or the most repetitive task in your 00:12:40.490 --> 00:12:43.049 job right now. Is it finding qualified leads? 00:12:43.470 --> 00:12:46.269 Is it organizing research every week? Start. 00:12:46.539 --> 00:12:49.580 there, use the detailed prompt examples we talked 00:12:49.580 --> 00:12:51.639 about as you're jumping off point, just automate 00:12:51.639 --> 00:12:54.279 that one tedious thing first. It really feels 00:12:54.279 --> 00:12:56.460 like a compelling glimpse into the future. I 00:12:56.460 --> 00:12:59.340 mean, if AI agents can now audit your website, 00:12:59.899 --> 00:13:01.919 find your talent, prep you for meetings, all 00:13:01.919 --> 00:13:05.240 with minimal human effort, how long until purely 00:13:05.240 --> 00:13:08.440 human -led single -step tasks start to look inefficient 00:13:08.440 --> 00:13:11.340 in, well, almost every professional field? It's 00:13:11.340 --> 00:13:12.980 certainly something powerful to think about until 00:13:12.980 --> 00:13:14.960 our next deep dive. Indeed it is. We'll see you 00:13:14.960 --> 00:13:15.419 next time.